code: def classifier_explainer_with_cv(fitted_rf_classifier_model):
      _, _, X_test, y_test = titanic_survive()
      return ClassifierExplainer(
          fitted_rf_classifier_model,
          X_test,
          y_test,
          cats=[
              {"Gender": ["Sex_female", "Sex_male", "Sex_nan"]},
              "Deck",
              "Embarked",
          ],
          cv=3,
      )
  
file_path: explainerdashboard/tests/test_cv.py
imports: import pytest
  import pandas
  from explainerdashboard.explainers import ClassifierExplainer, RegressionExplainer
  from explainerdashboard.datasets import titanic_survive, titanic_fare
label_desc: Use image node_id 1 for calling a global function with example usage: classifier_explainer_with_cv(fitted_rf_classifier_model) and returns: ClassifierExplainer